Published on 01.03.17 in Vol 5, No 3 (2017): March
Works citing "Efficacy of Mobile Apps to Support the Care of Patients With Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials"
According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.6309):
(note that this is only a small subset of citations)
-
. A Digital-First Model of Diabetes Care. Diabetes Technology & Therapeutics 2019;21(S2):S2-52
CrossRef -
Pustozerov E, Popova P, Tkachuk A, Bolotko Y, Yuldashev Z, Grineva E. Development and Evaluation of a Mobile Personalized Blood Glucose Prediction System for Patients With Gestational Diabetes Mellitus. JMIR mHealth and uHealth 2018;6(1):e6
CrossRef -
Shan R, Sarkar S, Martin SS. Digital health technology and mobile devices for the management of diabetes mellitus: state of the art. Diabetologia 2019;62(6):877
CrossRef -
Huang Z, Soljak M, Boehm BO, Car J. Clinical relevance of smartphone apps for diabetes management: A global overview. Diabetes/Metabolism Research and Reviews 2018;34(4)
CrossRef -
Liu K, Xie Z, Or CK. Effectiveness of Mobile App-Assisted Self-Care Interventions for Improving Patient Outcomes in Type 2 Diabetes and/or Hypertension: Systematic Review and Meta-Analysis of Randomized Controlled Trials. JMIR mHealth and uHealth 2020;8(8):e15779
CrossRef -
. mHealth Apps as Effective Persuasive Health Technology: Contextualizing the “Necessary” Functionalities. JMIR Nursing 2020;3(1):e19302
CrossRef -
Chiu C, Yu Y, Du Y, Yang Y, Chen J, Wong L, Tanasugarn C. Comparing a Social and Communication App, Telephone Intervention, and Usual Care for Diabetes Self-Management: 3-Arm Quasiexperimental Evaluation Study. JMIR mHealth and uHealth 2020;8(6):e14024
CrossRef -
Weitgasser R, Clodi M, Cvach S, Riedl M, Lechleitner M, Ludvik B. Diabetesschulung und -beratung bei Erwachsenen mit Diabetes (Update 2019). Wiener klinische Wochenschrift 2019;131(S1):110
CrossRef -
Alessa T, Abdi S, Hawley MS, de Witte L. Mobile Apps to Support the Self-Management of Hypertension: Systematic Review of Effectiveness, Usability, and User Satisfaction. JMIR mHealth and uHealth 2018;6(7):e10723
CrossRef -
Hansen WB, Scheier LM. Specialized Smartphone Intervention Apps: Review of 2014 to 2018 NIH Funded Grants. JMIR mHealth and uHealth 2019;7(7):e14655
CrossRef -
Menon A, Gray L, Fatehi F, Bird D, Darssan D, Karunanithi M, Russell A. Mobile-based insulin dose adjustment for type 2 diabetes in community and rural populations: study protocol for a pilot randomized controlled trial. Therapeutic Advances in Endocrinology and Metabolism 2019;10:204201881983664
CrossRef -
Cho J, Kim S. Personal and social predictors of use and non-use of fitness/diet app: Application of Random Forest algorithm. Telematics and Informatics 2020;55:101301
CrossRef -
Zhuang Q, Chen F, Wang T. Effectiveness of short message service intervention to improve glycated hemoglobin control and medication adherence in type-2 diabetes: A meta-analysis of prospective studies. Primary Care Diabetes 2020;14(4):356
CrossRef -
Koot D, Goh PSC, Lim RSM, Tian Y, Yau TY, Tan NC, Finkelstein EA. A Mobile Lifestyle Management Program (GlycoLeap) for People With Type 2 Diabetes: Single-Arm Feasibility Study. JMIR mHealth and uHealth 2019;7(5):e12965
CrossRef -
Summers C, Curtis K. Novel Digital Architecture of a “Low Carb Program” for Initiating and Maintaining Long-Term Sustainable Health-Promoting Behavior Change in Patients with Type 2 Diabetes. JMIR Diabetes 2020;5(1):e15030
CrossRef -
El Shafie RA, Bougatf N, Sprave T, Weber D, Oetzel D, Machmer T, Huber PE, Debus J, Nicolay NH. Oncologic Therapy Support Via Means of a Dedicated Mobile App (OPTIMISE-1): Protocol for a Prospective Pilot Trial. JMIR Research Protocols 2018;7(3):e70
CrossRef -
Evans SH, Clarke P. Resolving design issues in developing a nutrition app: A case study using formative research. Evaluation and Program Planning 2019;72:97
CrossRef -
Dugas M, Gao G, Agarwal R. Unpacking mHealth interventions: A systematic review of behavior change techniques used in randomized controlled trials assessing mHealth effectiveness. DIGITAL HEALTH 2020;6:205520762090541
CrossRef -
Jeffrey B, Bagala M, Creighton A, Leavey T, Nicholls S, Wood C, Longman J, Barker J, Pit S. Mobile phone applications and their use in the self-management of Type 2 Diabetes Mellitus: a qualitative study among app users and non-app users. Diabetology & Metabolic Syndrome 2019;11(1)
CrossRef -
Osborn CY, van Ginkel JR, Rodbard D, Heyman M, Marrero DG, Huddleston B, Dachis J. One Drop | Mobile: An Evaluation of Hemoglobin A1c Improvement Linked to App Engagement. JMIR Diabetes 2017;2(2):e21
CrossRef -
Greenwood DA, Gee PM, Fatkin KJ, Peeples M. A Systematic Review of Reviews Evaluating Technology-Enabled Diabetes Self-Management Education and Support. Journal of Diabetes Science and Technology 2017;11(5):1015
CrossRef -
Yamaguchi S, Waki K, Nannya Y, Nangaku M, Kadowaki T, Ohe K. Usage Patterns of GlucoNote, a Self-Management Smartphone App, Based on ResearchKit for Patients With Type 2 Diabetes and Prediabetes. JMIR mHealth and uHealth 2019;7(4):e13204
CrossRef -
Long S, Hasenfuß G, Raupach T. Apps in der Inneren Medizin. Der Internist 2019;60(4):324
CrossRef -
Hirano R, Yamaguchi S, Waki K, Kimura Y, Chin K, Nannya Y, Nangaku M, Kadowaki T, Ohe K. Willingness of Patients Prescribed Medications for Lifestyle-Related Diseases to Use Personal Health Records: Questionnaire Study. Journal of Medical Internet Research 2020;22(5):e13866
CrossRef -
Chakranon P, Lai YK, Tang YW, Choudhary P, Khunti K, Lee SWH. Distal technology interventions in people with diabetes: an umbrella review of multiple health outcomes. Diabetic Medicine 2020;37(12):1966
CrossRef -
. Home spirometry for idiopathic pulmonary fibrosis: ready for prime time?. European Respiratory Journal 2017;50(1):1701403
CrossRef -
Chen J, Gemming L, Hanning R, Allman-Farinelli M. Smartphone apps and the nutrition care process: Current perspectives and future considerations. Patient Education and Counseling 2018;101(4):750
CrossRef -
El Shafie RA, Weber D, Bougatf N, Sprave T, Oetzel D, Huber PE, Debus J, Nicolay NH. Supportive Care in Radiotherapy Based on a Mobile App: Prospective Multicenter Survey. JMIR mHealth and uHealth 2018;6(8):e10916
CrossRef -
Ernsting C, Stühmann LM, Dombrowski SU, Voigt-Antons J, Kuhlmey A, Gellert P. Associations of Health App Use and Perceived Effectiveness in People With Cardiovascular Diseases and Diabetes: Population-Based Survey. JMIR mHealth and uHealth 2019;7(3):e12179
CrossRef -
Quinn CC, Staub S, Barr E, Gruber-Baldini A. Mobile Support for Older Adults and Their Caregivers: Dyad Usability Study. JMIR Aging 2019;2(1):e12276
CrossRef -
Zhang Y, Liu C, Luo S, Xie Y, Liu F, Li X, Zhou Z. Factors Influencing Patients’ Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey. Journal of Medical Internet Research 2019;21(8):e15023
CrossRef -
Zheng C, Chen X, Weng L, Guo L, Xu H, Lin M, Xue Y, Lin X, Yang A, Yu L, Xue Z, Yang J. Benefits of Mobile Apps for Cancer Pain Management: Systematic Review. JMIR mHealth and uHealth 2020;8(1):e17055
CrossRef -
Zhang Y, Li X, Luo S, Liu C, Xie Y, Guo J, Liu F, Zhou Z. Use, Perspectives, and Attitudes Regarding Diabetes Management Mobile Apps Among Diabetes Patients and Diabetologists in China: National Web-Based Survey. JMIR mHealth and uHealth 2019;7(2):e12658
CrossRef -
Young HM, Miyamoto S, Dharmar M, Tang-Feldman Y. Nurse Coaching and Mobile Health Compared With Usual Care to Improve Diabetes Self-Efficacy for Persons With Type 2 Diabetes: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(3):e16665
CrossRef -
Barmanray R, Briganti E. Glycaemic control apps for diabetes: lifting the lid. Medical Journal of Australia 2018;209(10):426
CrossRef -
Kebede MM, Liedtke TP, Möllers T, Pischke CR. Characterizing Active Ingredients of eHealth Interventions Targeting Persons With Poorly Controlled Type 2 Diabetes Mellitus Using the Behavior Change Techniques Taxonomy: Scoping Review. Journal of Medical Internet Research 2017;19(10):e348
CrossRef -
Kelly JT, Allman‐Farinelli M, Chen J, Partridge SR, Collins C, Rollo M, Haslam R, Diversi T, Campbell KL. Dietitians Australia position statement on telehealth. Nutrition & Dietetics 2020;77(4):406
CrossRef -
. Where does health communication technology fit into allergy practice?. Annals of Allergy, Asthma & Immunology 2018;121(1):24
CrossRef -
Wu Y, Zhou Y, Wang X, Zhang Q, Yao X, Li X, Li J, Tian H, Li S. A Comparison of Functional Features in Chinese and US Mobile Apps for Diabetes Self-Management: A Systematic Search in App Stores and Content Analysis. JMIR mHealth and uHealth 2019;7(8):e13971
CrossRef -
Oka R, Nomura A, Yasugi A, Kometani M, Gondoh Y, Yoshimura K, Yoneda T. Study Protocol for the Effects of Artificial Intelligence (AI)-Supported Automated Nutritional Intervention on Glycemic Control in Patients with Type 2 Diabetes Mellitus. Diabetes Therapy 2019;10(3):1151
CrossRef -
TİMURTAŞ E, POLAT MG. Usability of Mobile Health Application for Individuals with Type 2 Diabetes Mellitus and Clinicians. Clinical and Experimental Health Sciences 2020;10(1):54
CrossRef -
. Updates and advances in technology for diabetes self-management. Pharmacy Today 2019;25(5):43
CrossRef -
Levine DM, Co Z, Newmark LP, Groisser AR, Holmgren AJ, Haas JS, Bates DW. Design and testing of a mobile health application rating tool. npj Digital Medicine 2020;3(1)
CrossRef -
Schramm K, Grassl N, Nees J, Hoffmann J, Stepan H, Bruckner T, Haun MW, Maatouk I, Haist M, Schott TC, Sohn C, Schott S. Women’s Attitudes Toward Self-Monitoring of Their Pregnancy Using Noninvasive Electronic Devices: Cross-Sectional Multicenter Study. JMIR mHealth and uHealth 2019;7(1):e11458
CrossRef -
Rodriguez JA, Singh K. The Spanish Availability and Readability of Diabetes Apps. Journal of Diabetes Science and Technology 2018;12(3):719
CrossRef -
Kordonouri O, Riddell MC. Use of apps for physical activity in type 1 diabetes: current status and requirements for future development. Therapeutic Advances in Endocrinology and Metabolism 2019;10:204201881983929
CrossRef -
Glattacker M, Boeker M, Anger R, Reichenbach F, Tassoni A, Bredenkamp R, Giesler JM. Evaluation of a Mobile Phone App for Patients With Pollen-Related Allergic Rhinitis: Prospective Longitudinal Field Study. JMIR mHealth and uHealth 2020;8(4):e15514
CrossRef -
Pereyra-Rodriguez J, Jiménez-Zarco A, Saigí-Rubió F. Determinantes de la intención de uso de la telemedicina en una organización sanitaria. Journal of Healthcare Quality Research 2018;33(6):319
CrossRef -
Bonn SE, Alexandrou C, Hjörleifsdottir Steiner K, Wiklander K, Östenson C, Löf M, Trolle Lagerros Y. App-technology to increase physical activity among patients with diabetes type 2 - the DiaCert-study, a randomized controlled trial. BMC Public Health 2018;18(1)
CrossRef -
Byambasuren O, Sanders S, Beller E, Glasziou P. Prescribable mHealth apps identified from an overview of systematic reviews. npj Digital Medicine 2018;1(1)
CrossRef -
Hilmarsdóttir E, Sigurðardóttir K, Arnardóttir RH. A Digital Lifestyle Program in Outpatient Treatment of Type 2 Diabetes: A Randomized Controlled Study. Journal of Diabetes Science and Technology 2021;15(5):1134
CrossRef -
Timpel P, Oswald S, Schwarz PEH, Harst L. Mapping the Evidence on the Effectiveness of Telemedicine Interventions in Diabetes, Dyslipidemia, and Hypertension: An Umbrella Review of Systematic Reviews and Meta-Analyses. Journal of Medical Internet Research 2020;22(3):e16791
CrossRef -
. Electronic Person-Generated Health Data. AACN Advanced Critical Care 2019;30(3):217
CrossRef -
Feuerstein-Simon C, Bzdick S, Padmanabhuni A, Bains P, Roe C, Weinstock RS. Use of a Smartphone Application to Reduce Hypoglycemia in Type 1 Diabetes: A Pilot Study. Journal of Diabetes Science and Technology 2018;12(6):1192
CrossRef -
. Do Smartphone Applications Hold the Secret to Reducing Hypoglycemia in Type 1 Diabetes?. Journal of Diabetes Science and Technology 2018;12(6):1200
CrossRef -
Hirani SP, Rixon L, Cartwright M, Beynon M, Newman SP. The Effect of Telehealth on Quality of Life and Psychological Outcomes Over a 12-Month Period in a Diabetes Cohort Within the Whole Systems Demonstrator Cluster Randomized Trial. JMIR Diabetes 2017;2(2):e18
CrossRef -
Sunil Kumar D, Prakash B, Subhash Chandra B, Kadkol PS, Arun V, Thomas JJ, Kulkarni P, Gopi A, Murthy MN. Technological innovations to improve health outcome in type 2 diabetes mellitus: A randomized controlled study. Clinical Epidemiology and Global Health 2021;9:53
CrossRef -
Zhang Y, Li X, Luo S, Liu C, Liu F, Zhou Z. Exploration of Users’ Perspectives and Needs and Design of a Type 1 Diabetes Management Mobile App: Mixed-Methods Study. JMIR mHealth and uHealth 2018;6(9):e11400
CrossRef -
Pop-Jordanova N, Loleski M, Loleska S. The Use of Smartphone in Medical Practice. PRILOZI 2017;38(3):9
CrossRef -
Villinger K, Wahl DR, Boeing H, Schupp HT, Renner B. The effectiveness of app‐based mobile interventions on nutrition behaviours and nutrition‐related health outcomes: A systematic review and meta‐analysis. Obesity Reviews 2019;20(10):1465
CrossRef -
Allman-Farinelli M, Gemming L. Technology Interventions to Manage Food Intake: Where Are We Now?. Current Diabetes Reports 2017;17(11)
CrossRef -
Godman B, Basu D, Pillay Y, Mwita JC, Rwegerera GM, Anand Paramadhas BD, Tiroyakgosi C, Okwen PM, Niba LL, Nonvignon J, Sefah I, Oluka M, Guantai AN, Kibuule D, Kalemeera F, Mubita M, Fadare J, Ogunleye OO, Distiller LA, Rampamba EM, Wing J, Mueller D, Alfadl A, Amu AA, Matsebula Z, Kalungia A, Zaranyika T, Masuka N, Wale J, Hill R, Kurdi A, Timoney A, Campbell S, Meyer JC. Review of Ongoing Activities and Challenges to Improve the Care of Patients With Type 2 Diabetes Across Africa and the Implications for the Future. Frontiers in Pharmacology 2020;11
CrossRef -
Oppong E, Hinson RE, Adeola O, Muritala O, Kosiba JP. The effect of mobile health service quality on user satisfaction and continual usage. Total Quality Management & Business Excellence 2021;32(1-2):177
CrossRef -
Boodoo C, Perry JA, Leung G, Cross KM, Isaranuwatchai W. Cost-effectiveness of telemonitoring screening for diabetic foot ulcer: a mathematical model. CMAJ Open 2018;6(4):E486
CrossRef -
Schiel R, Bambauer R, Steveling A. Technology in Diabetes Treatment: Update and Future. Artificial Organs 2018;42(11):1017
CrossRef -
Rasche P, Mertens A, Miron-Shatz T, Berzon C, Schlick CM, Jahn M, Becker S, Fürnsinn C. Seamless recording of glucometer measurements among older experienced diabetic patients – A study of perception and usability. PLOS ONE 2018;13(5):e0197455
CrossRef -
Alenazi HA, Jamal A, Batais MA. Identification of Type 2 Diabetes Management Mobile App Features and Engagement Strategies: Modified Delphi Approach. JMIR mHealth and uHealth 2020;8(9):e17083
CrossRef -
Alessa T, Hawley MS, Hock ES, de Witte L. Smartphone Apps to Support Self-Management of Hypertension: Review and Content Analysis. JMIR mHealth and uHealth 2019;7(5):e13645
CrossRef -
Berman MA, Guthrie NL, Edwards KL, Appelbaum KJ, Njike VY, Eisenberg DM, Katz DL. Change in Glycemic Control With Use of a Digital Therapeutic in Adults With Type 2 Diabetes: Cohort Study. JMIR Diabetes 2018;3(1):e4
CrossRef -
Hou C, Xu Q, Diao S, Hewitt J, Li J, Carter B. Mobile phone applications and self‐management of diabetes: A systematic review with meta‐analysis, meta‐regression of 21 randomized trials and GRADE. Diabetes, Obesity and Metabolism 2018;20(8):2009
CrossRef -
Dugas M, Wang W, Crowley K, Iyer AK, Peeples M, Shomali M, Gao G. Engagement and Outcomes Associated with Contextual Annotation Features of a Digital Health Solution. Journal of Diabetes Science and Technology 2022;16(4):804
CrossRef -
Grau-Corral I, Pantoja PE, Grajales III FJ, Kostov B, Aragunde V, Puig-Soler M, Roca D, Couto E, Sisó-Almirall A. Assessing Apps for Health Care Workers Using the ISYScore-Pro Scale: Development and Validation Study. JMIR mHealth and uHealth 2021;9(7):e17660
CrossRef -
Pearsons A, Hanson CL, Gallagher R, O’Carroll RE, Khonsari S, Hanley J, Strachan FE, Mills NL, Quinn TJ, McKinstry B, McHale S, Stewart S, Zhang M, O’Connor S, Neubeck L. Atrial fibrillation self-management: a mobile telephone app scoping review and content analysis. European Journal of Cardiovascular Nursing 2021;20(4):305
CrossRef -
Franc S, Hanaire H, Benhamou P, Schaepelynck P, Catargi B, Farret A, Fontaine P, Guerci B, Reznik Y, Jeandidier N, Penfornis A, Borot S, Chaillous L, Serusclat P, Kherbachi Y, d'Orsay G, Detournay B, Simon P, Charpentier G. DIABEO System Combining a Mobile App Software With and Without Telemonitoring Versus Standard Care: A Randomized Controlled Trial in Diabetes Patients Poorly Controlled with a Basal-Bolus Insulin Regimen. Diabetes Technology & Therapeutics 2020;22(12):904
CrossRef -
Abd-alrazaq AA, Suleiman N, Baagar K, Jandali N, Alhuwail D, Abdalhakam I, Shahbal S, Abou-Samra A, Househ M. Patients and healthcare workers experience with a mobile application for self-management of diabetes in Qatar: A qualitative study. Computer Methods and Programs in Biomedicine Update 2021;1:100002
CrossRef -
Grau-Corral I, Gascon P, Grajales III FJ, Kostov B, Sisó Almirall A. Availability of Spanish-Language Medical Apps in Google Play and the App Store: Retrospective Descriptive Analysis Using Google Tools. JMIR mHealth and uHealth 2020;8(12):e17139
CrossRef -
Kang J, Chen Y, Zhao Y, Zhang C. Effect of remote management on comprehensive management of diabetes mellitus during the COVID-19 epidemic. Primary Care Diabetes 2021;15(3):417
CrossRef -
Muscat DM, Lambert K, Shepherd H, McCaffery KJ, Zwi S, Liu N, Sud K, Saunders J, O’Lone E, Kim J, Robbins A, Webster AC, Smith J. Supporting patients to be involved in decisions about their health and care: Development of a best practice health literacy App for Australian adults living with Chronic Kidney Disease. Health Promotion Journal of Australia 2021;32(S1):115
CrossRef -
Roos T, Hochstadt S, Keuthage W, Kröger J, Lueg A, Mühlen H, Schütte L, Scheper N, Ehrmann D, Hermanns N, Heinemann L, Kulzer B. Level of Digitalization in Germany: Results of the Diabetes Digitalization and Technology (D.U.T) Report 2020. Journal of Diabetes Science and Technology 2022;16(1):144
CrossRef -
Iribarren SJ, Akande TO, Kamp KJ, Barry D, Kader YG, Suelzer E. Effectiveness of Mobile Apps to Promote Health and Manage Disease: Systematic Review and Meta-analysis of Randomized Controlled Trials. JMIR mHealth and uHealth 2021;9(1):e21563
CrossRef -
Kabir MA, Rahman SS, Islam MM, Ahmed S, Laird C. Mobile Apps for Foot Measurement in Pedorthic Practice: Scoping Review. JMIR mHealth and uHealth 2021;9(3):e24202
CrossRef -
Mehraeen E, Mehrtak M, Janfaza N, Karimi A, Heydari M, Mirzapour P, Mehranfar A. Design and Development of a Mobile-Based Self-Care Application for Patients with Type 2 Diabetes. Journal of Diabetes Science and Technology 2022;16(4):1008
CrossRef -
McDiarmid S, Harvie M, Johnson R, Vyas A, Aglan A, Moran J, Ruane H, Hulme A, Sellers K, Issa B. Intermittent Versus Continuous Low-Energy Diet in Patients With Type 2 Diabetes: Protocol for a Pilot Randomized Controlled Trial. JMIR Research Protocols 2021;10(3):e21116
CrossRef -
Steenkamp D, Eby EL, Gulati N, Liao B. Adherence and Persistence to Insulin Therapy in People with Diabetes: Impact of Connected Insulin Pen Delivery Ecosystem. Journal of Diabetes Science and Technology 2022;16(4):995
CrossRef -
Boman N, Fernandez-Luque L, Koledova E, Kause M, Lapatto R. Connected health for growth hormone treatment research and clinical practice: learnings from different sources of real-world evidence (RWE)—large electronically collected datasets, surveillance studies and individual patients’ cases. BMC Medical Informatics and Decision Making 2021;21(1)
CrossRef -
Badawy SM, Cronin RM, Liem RI, Palermo TM. Digital behavioural interventions for people with sickle cell disease. Cochrane Database of Systematic Reviews 2021;
CrossRef -
Maharaj A, Lim D, Murphy R, Serlachius A. Comparing Two Commercially Available Diabetes Apps to Explore Challenges in User Engagement: Randomized Controlled Feasibility Study. JMIR Formative Research 2021;5(6):e25151
CrossRef -
Riangkam C, Sriyuktasuth A, Pongthavornkamol K, Kusakunniran W, Sriwijitkamol A. Effects of a mobile health diabetes self-management program on HbA1C, self-management and patient satisfaction in adults with uncontrolled type 2 diabetes: a randomized controlled trial. Journal of Health Research 2022;36(5):878
CrossRef -
Wu X, Guo X, Zhu H. Exploring the human factors for mindfulness in mHealth service usage: An Elaboration Likelihood Model. Information Development 2021;37(3):511
CrossRef -
El-Gayar O, Ofori M, Nawar N. On the efficacy of behavior change techniques in mHealth for self-management of diabetes: A meta-analysis. Journal of Biomedical Informatics 2021;119:103839
CrossRef -
Kawai Y, Sankoda A, Waki K, Miyake K, Hayashi A, Mieno M, Wakui H, Tsurutani Y, Saito J, Hirawa N, Yamakawa T, Komiya S, Isogawa A, Satoh S, Minami T, Osada U, Iwamoto T, Takano T, Terauchi Y, Tamura K, Yamauchi T, Kadowaki T, Nangaku M, Kashihara N, Ohe K. Efficacy of the Self-management Support System DialBetesPlus for Diabetic Kidney Disease: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2021;10(8):e31061
CrossRef -
Shah AC, O’Dwyer LC, Badawy SM. Telemedicine in Malignant and Nonmalignant Hematology: Systematic Review of Pediatric and Adult Studies. JMIR mHealth and uHealth 2021;9(7):e29619
CrossRef -
Ang IYH, Tan KXQ, Tan C, Tan CH, Kwek JWM, Tay J, Toh SA. A Personalized Mobile Health Program for Type 2 Diabetes During the COVID-19 Pandemic: Single-Group Pre–Post Study. JMIR Diabetes 2021;6(3):e25820
CrossRef -
Tu Y, Chang Y, Chiou H, Lai K. The Effects of Continuous Usage of a Diabetes Management App on Glycemic Control in Real-world Clinical Practice: Retrospective Analysis. Journal of Medical Internet Research 2021;23(7):e23227
CrossRef -
Represas-Carrera FJ, Martínez-Ques A, Clavería A. Effectiveness of mobile applications in diabetic patients’ healthy lifestyles: A review of systematic reviews. Primary Care Diabetes 2021;15(5):751
CrossRef -
Khoong EC, Olazo K, Rivadeneira NA, Thatipelli S, Barr-Walker J, Fontil V, Lyles CR, Sarkar U. Mobile health strategies for blood pressure self-management in urban populations with digital barriers: systematic review and meta-analyses. npj Digital Medicine 2021;4(1)
CrossRef -
He Q, Zhao X, Wang Y, Xie Q, Cheng L. Effectiveness of smartphone application–based self‐management interventions in patients with type 2 diabetes: A systematic review and meta‐analysis of randomized controlled trials. Journal of Advanced Nursing 2022;78(2):348
CrossRef -
Bassi G, Mancinelli E, Dell’Arciprete G, Rizzi S, Gabrielli S, Salcuni S. Efficacy of eHealth Interventions for Adults with Diabetes: A Systematic Review and Meta-Analysis. International Journal of Environmental Research and Public Health 2021;18(17):8982
CrossRef -
Hummel M, Bonn SE, Trolle Lagerros Y. The effect of the smartphone app DiaCert on health related quality of life in patients with type 2 diabetes: results from a randomized controlled trial. Diabetology & Metabolic Syndrome 2022;14(1)
CrossRef -
Katsiki N, Gómez‐Huelgas R, Mikhailidis DP, Pérez‐Martínez P. Narrative review on clinical considerations for patients with diabetes and COVID‐19: More questions than answers. International Journal of Clinical Practice 2021;75(11)
CrossRef -
Geirhos A, Stephan M, Wehrle M, Mack C, Messner E, Schmitt A, Baumeister H, Terhorst Y, Sander LB. Standardized evaluation of the quality and persuasiveness of mobile health applications for diabetes management. Scientific Reports 2022;12(1)
CrossRef -
Salas-Groves E, Galyean S, Alcorn M, Childress A. Behavior Change Effectiveness Using Nutrition Apps in People With Chronic Diseases: Scoping Review. JMIR mHealth and uHealth 2023;11:e41235
CrossRef -
Cunningham SG, Stoddart A, Wild SH, Conway NJ, Gray AM, Wake DJ. Cost-Utility of an Online Education Platform and Diabetes Personal Health Record: Analysis Over Ten Years. Journal of Diabetes Science and Technology 2023;17(3):715
CrossRef -
Harakeh Z, Van Keulen H, Hogenelst K, Otten W, De Hoogh IM, Van Empelen P. Predictors of the Acceptance of an Electronic Coach Targeting Self-management of Patients With Type 2 Diabetes: Web-Based Survey. JMIR Formative Research 2022;6(8):e34737
CrossRef -
Keller R, Hartmann S, Teepe GW, Lohse K, Alattas A, Tudor Car L, Müller-Riemenschneider F, von Wangenheim F, Mair JL, Kowatsch T. Digital Behavior Change Interventions for the Prevention and Management of Type 2 Diabetes: Systematic Market Analysis. Journal of Medical Internet Research 2022;24(1):e33348
CrossRef -
Sabharwal M, Misra A, Ghosh A, Chopra G. Efficacy of Digitally Supported and Real-Time Self-Monitoring of Blood Glucose-Driven Counseling in Patients with Type 2 Diabetes Mellitus: A Real-World, Retrospective Study in North India. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2022;Volume 15:23
CrossRef -
Dike FO, Mutabazi JC, Ubani BC, Isa AS, Ezeude C, Musa E, Iheonye H, Ainavi II. Implementation and impact of mobile health (mHealth) in the management of diabetes mellitus in Africa: a systematic review protocol. BMJ Open 2021;11(12):e047556
CrossRef -
Blanchard J, Ahmed S, Clark B, Sanchez Cotto L, Rangasamy S, Thompson B. Design and Testing of a Smartphone Application for Real-Time Tracking of CSII and CGM Site Rotation Compliance in Patients With Type 1 Diabetes. Journal of Diabetes Science and Technology 2022;:193229682211451
CrossRef -
Gosak L, Pajnkihar M, Stiglic G. The Impact of Mobile Health Use on the Self-care of Patients With Type 2 Diabetes: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2022;11(6):e31652
CrossRef -
Wong AKC, Wong FKY, Bayuo J, Chow KKS, Wong SM, Lee AYL. A randomized controlled trial of an mHealth application with nursing interaction to promote quality of life among community-dwelling older adults. Frontiers in Psychiatry 2022;13
CrossRef -
Olmedo-Aguirre JO, Reyes-Campos J, Alor-Hernández G, Machorro-Cano I, Rodríguez-Mazahua L, Sánchez-Cervantes JL. Remote Healthcare for Elderly People Using Wearables: A Review. Biosensors 2022;12(2):73
CrossRef -
Chatzakis C, Floros D, Liberis A, Gerede A, Dinas K, Pitsianis N, Sotiriadis A. STORK: Collaborative Online Monitoring of Pregnancies Complicated with Gestational Diabetes Mellitus. Healthcare 2022;10(4):653
CrossRef -
Ossai CI, Wickramasinghe N. Sentiments prediction and thematic analysis for diabetes mobile apps using Embedded Deep Neural Networks and Latent Dirichlet Allocation. Artificial Intelligence in Medicine 2023;138:102509
CrossRef -
Stein CD, Watanabe MK, Lee A. Leveraging Informatics To Relieve Barriers to Oral Health Care in Disadvantaged Communities. Journal of the California Dental Association 2018;46(3):171
CrossRef -
Bretschneider MP, Klásek J, Karbanová M, Timpel P, Herrmann S, Schwarz PEH. Impact of a Digital Lifestyle Intervention on Diabetes Self-Management: A Pilot Study. Nutrients 2022;14(9):1810
CrossRef -
Jiménez‐Muñoz L, Gutiérrez‐Rojas L, Porras‐Segovia A, Courtet P, Baca‐García E. Mobile applications for the management of chronic physical conditions: a systematic review. Internal Medicine Journal 2022;52(1):21
CrossRef -
Cucciniello M, Petracca F, Ciani O, Tarricone R. Development features and study characteristics of mobile health apps in the management of chronic conditions: a systematic review of randomised trials. npj Digital Medicine 2021;4(1)
CrossRef -
Lee EY, Cha S, Yun J, Lim S, Lee J, Ahn Y, Yoon K, Hyun MK, Ko S. Efficacy of Personalized Diabetes Self-care Using an Electronic Medical Record–Integrated Mobile App in Patients With Type 2 Diabetes: 6-Month Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(7):e37430
CrossRef -
Diez Alvarez S, Fellas A, Santos D, Sculley D, Wynne K, Acharya S, Navathe P, Girones X, Coda A. The Clinical Impact of Flash Glucose Monitoring—a Digital Health App and Smartwatch Technology in Patients With Type 2 Diabetes: Scoping Review. JMIR Diabetes 2023;8:e42389
CrossRef -
Yang C, Li C, Yeh T, Chang Y. Assessing Older Adults’ Intentions to Use a Smartphone: Using the Meta–Unified Theory of the Acceptance and Use of Technology. International Journal of Environmental Research and Public Health 2022;19(9):5403
CrossRef -
Wangler J, Jansky M. Bedeutung und Einsatzpotenziale von Gesundheits-Apps in der diabetologischen Versorgung – Ergebnisse einer Befragungsstudie. Diabetologie und Stoffwechsel 2023;18(01):69
CrossRef -
Wangler J, Jansky M. Attitudes and experiences of registered diabetes specialists in using health apps for managing type 2 diabetes: results from a mixed-methods study in Germany 2021/2022. Archives of Public Health 2023;81(1)
CrossRef -
Ash GI, Nally LM, Stults-Kolehmainen M, De Los Santos M, Jeon S, Brandt C, Gulanski BI, Spanakis EK, Baker JS, Weinzimer SA, Fucito LM. Personalized Digital Health Information to Substantiate Human-Delivered Exercise Support for Adults With Type 1 Diabetes. Clinical Journal of Sport Medicine 2023;33(5):512
CrossRef -
Hong C, Abrams LS, Holloway IW. Technology-Based Interventions to Promote the HIV Preexposure Prophylaxis (PrEP) Care Continuum: Protocol for a Systematic Review. JMIR Research Protocols 2022;11(3):e33045
CrossRef -
Ali Sherazi B, Laeer S, Krutisch S, Dabidian A, Schlottau S, Obarcanin E. Functions of mHealth Diabetes Apps That Enable the Provision of Pharmaceutical Care: Criteria Development and Evaluation of Popular Apps. International Journal of Environmental Research and Public Health 2022;20(1):64
CrossRef -
Kim J, Park T, Kim KJ. The Clinical Effects of Type 2 Diabetes Patient Management Using Digital Healthcare Technology: A Systematic Review and Meta-Analysis. Healthcare 2022;10(3):522
CrossRef -
Stevens S, Gallagher S, Andrews T, Ashall-Payne L, Humphreys L, Leigh S. The effectiveness of digital health technologies for patients with diabetes mellitus: A systematic review. Frontiers in Clinical Diabetes and Healthcare 2022;3
CrossRef -
Tada H, Okada H, Nomura A, Usui S, Sakata K, Hayashi K, Fujino N, Yasugi A, Takahara S, Imai Y, Takamura M, Kawashiri M. Effects of artificial intelligence-SsupporTed Automated NutRiTional Intervention on LDL cholesterol Control in Patients with Familial Hypercholesterolaemia (iSTART-FH): protocol for a randomised controlled trial. BMJ Open 2021;11(12):e053453
CrossRef -
Montanari VA, Gabbay MAL, Dib SA. Comparison of three insulin bolus calculators to increase time in range of glycemia in a group of poorly controlled adults Type 1 diabetes in a Brazilian public health service. Diabetology & Metabolic Syndrome 2022;14(1)
CrossRef -
María Gómez A, Cristina Henao D, León Vargas F, Mauricio Muñoz O, David Lucero O, García Jaramillo M, Aldea A, Martin C, Miguel Rodríguez Hortúa L, Patricia Rubio Reyes C, Alejandra Páez Hortúa M, Rondón M. Efficacy of the mHealth application in patients with type 2 diabetes transitioning from inpatient to outpatient care: A randomized controlled clinical trial. Diabetes Research and Clinical Practice 2022;189:109948
CrossRef -
Yoon S, Kwan YH, Phang JK, Tan WB, Low LL. Personal Goals, Barriers to Self-Management and Desired mHealth Application Features to Improve Self-Care in Multi-Ethnic Asian Patients with Type 2 Diabetes: A Qualitative Study. International Journal of Environmental Research and Public Health 2022;19(22):15415
CrossRef -
Kelley MM, Kue J, Brophy L, Peabody AL, Foraker RE, Yen P, Tucker S. Mobile Health Applications, Cancer Survivors, and Lifestyle Modification. CIN: Computers, Informatics, Nursing 2021;39(11):755
CrossRef -
Sikalidis AK, Kristo AS, Reaves SK, Kurfess FJ, DeLay AM, Vasilaky K, Donegan L. Capacity Strengthening Undertaking—Farm Organized Response of Workers against Risk for Diabetes: (C.S.U.—F.O.R.W.A.R.D. with Cal Poly)—A Concept Approach to Tackling Diabetes in Vulnerable and Underserved Farmworkers in California. Sensors 2022;22(21):8299
CrossRef -
. A Systematic Review on Mobile Health Applications’ Education Program for Patients Taking Oral Anticoagulants. International Journal of Environmental Research and Public Health 2021;18(17):8902
CrossRef -
Dehnavi Z, Ayatollahi H, Hemmat M, Abbasi R. Health Information Technology and Diabetes Management: A Review of Motivational and Inhibitory Factors. Current Diabetes Reviews 2021;17(3):268
CrossRef -
Kerr D, King F, Klonoff DC. Digital Health Interventions for Diabetes: Everything to Gain and Nothing to Lose. Diabetes Spectrum 2019;32(3):226
CrossRef -
Stephen DA, Nordin A, Nilsson J, Persenius M. Using mHealth applications for self-care – An integrative review on perceptions among adults with type 1 diabetes. BMC Endocrine Disorders 2022;22(1)
CrossRef -
Luque B, Villaécija J, Castillo-Mayén R, Cuadrado E, Rubio S, Tabernero C. Psychoeducational Interventions in Children and Adolescents with Type-1 Diabetes: A Systematic Review. Clínica y Salud 2022;33(1):35
CrossRef -
Holzer R, Werner F, Behrens M, Volkery C, Brinkmann C. A sports and health application for patients with type 1 diabetes mellitus -An end-user survey on expectations and requirements. Journal of Diabetes & Metabolic Disorders 2022;21(1):623
CrossRef -
van Bonn SM, Behrendt SP, Pawar BL, Schraven SP, Mlynski R, Schuldt T. Smartphone-based nystagmus diagnostics: development of an innovative app for the targeted detection of vertigo. European Archives of Oto-Rhino-Laryngology 2022;279(12):5565
CrossRef -
Guerreiro MP, Balsa J, Carmo MB, Cláudio AP, Félix IB. Usability Evaluation by Primary Care Providers of a Novel Digital Intervention for Type 2 Diabetes Self-Management in Older Adults. CIN: Computers, Informatics, Nursing 2023;41(4):185
CrossRef -
Weitgasser R, Ciardi C, Traub J, Barta M, Riedl M, Clodi M, Ludvik B. Diabetesschulung und -beratung bei Erwachsenen mit Diabetes (Update 2023). Wiener klinische Wochenschrift 2023;135(S1):137
CrossRef -
Alsayed AO, Ismail NA, Hasan L, Syed AH, Embarak F, Da'u A. A systematic literature review for understanding the effectiveness of advanced techniques in diabetes self-care management. Alexandria Engineering Journal 2023;79:274
CrossRef -
Ruissen MM, Torres-Peña JD, Uitbeijerse BS, Arenas de Larriva AP, Huisman SD, Namli T, Salzsieder E, Vogt L, Ploessnig M, van der Putte B, Merle A, Serra G, Rodríguez G, de Graaf AA, de Koning EJP, Delgado-Lista J, Sont JK. Clinical impact of an integrated e-health system for diabetes self-management support and shared decision making (POWER2DM): a randomised controlled trial. Diabetologia 2023;66(12):2213
CrossRef -
Shao H, Liu C, Tang L, Wang B, Xie H, Zhang Y. Factors Influencing the Behavioral Intentions and Use Behaviors of Telemedicine in Patients With Diabetes: Web-Based Survey Study. JMIR Human Factors 2023;10:e46624
CrossRef -
Sze WT, Kow SG. Perspectives and Needs of Malaysian Patients With Diabetes for a Mobile Health App Support on Self-Management of Diabetes: Qualitative Study. JMIR Diabetes 2023;8:e40968
CrossRef -
Stahl Salzman R, Noe D. Embracing Diabetes Apps in the Digital Age: A DCES Guide to Integrating Apps into Your Practice. ADCES in Practice 2023;11(5):18
CrossRef -
Sze WT, Waki K, Enomoto S, Nagata Y, Nangaku M, Yamauchi T, Ohe K. StepAdd: A personalized mHealth intervention based on social cognitive theory to increase physical activity among type 2 diabetes patients. Journal of Biomedical Informatics 2023;145:104481
CrossRef -
Bretschneider MP, Roth L, Schwarz PEH. Effectiveness of a Digital Health Application for the Treatment of Diabetes Type II—A Pilot Study. Journal of Clinical Medicine 2023;12(19):6317
CrossRef -
Han CY, Lim SL, Ong KW, Johal J, Gulyani A. Behavioral Lifestyle Intervention Program Using Mobile Application Improves Diet Quality in Adults With Prediabetes (D’LITE Study): A Randomized Controlled Trial. Journal of the Academy of Nutrition and Dietetics 2024;124(3):358
CrossRef -
Giovanazzi A, Gios L, Mastellaro M, Gentilini MA, Valent F, Condini S, Bincoletto G, Bacchiega A, Zorzi A, Malfatti G, Perini F, Eccher C, Marchesoni M, Dall’Alda M, Orrasch M, Conforti D, Inchiostro S. Organisational models supported by technology for the management of diabetic disease and its complications in a diabetic clinic setting: study protocol for a randomised controlled trial targeting type 2 diabetes individuals with non-ideal glycaemic values (Telemechron study). Trials 2023;24(1)
CrossRef -
Kumbara AB, Iyer AK, Green CR, Jepson LH, Leone K, Layne JE, Shomali M. Impact of a Combined Continuous Glucose Monitoring–Digital Health Solution on Glucose Metrics and Self-Management Behavior for Adults With Type 2 Diabetes: Real-World, Observational Study. JMIR Diabetes 2023;8:e47638
CrossRef -
. Using SOR framework to explore the driving factors of older adults smartphone use behavior. Humanities and Social Sciences Communications 2023;10(1)
CrossRef -
Wasserman S, Ould Brahim L, Attiya A, Belzile E, Lambert SD. An Evaluation of Interactive mHealth Applications for Adults Living with Cancer. Current Oncology 2023;30(8):7151
CrossRef -
Tao X, Zhang P, Zhang X, Mao L, Peiris D. Features, functions, and quality of mobile applications for type 2 diabetes care in China: Systematic search of app stores. International Journal of Medical Informatics 2023;180:105273
CrossRef -
Sadler S, Gerrard J, Searle A, Lanting S, West M, Wilson R, Ginige A, Fang KY, Chuter V. The Use of mHealth Apps for the Assessment and Management of Diabetes-Related Foot Health Outcomes: Systematic Review. Journal of Medical Internet Research 2023;25:e47608
CrossRef -
Abdelhameed F, Pearson E, Parsons N, Barber TM, Panesar A, Summers C, de la Fosse M, Hanson P. Health Outcomes Following Engagement With a Digital Health Tool Among People With Prediabetes and Type 2 Diabetes: Prospective Evaluation Study. JMIR Diabetes 2023;8:e47224
CrossRef -
Kime N, Zwolinsky S, Pringle A. Evaluation of the DigiBete App, a Self-Management App for Type 1 Diabetes: Experiences of Young People, Families, and Healthcare Professionals. Children 2023;10(12):1933
CrossRef -
Chong SOK, Pedron S, Abdelmalak N, Laxy M, Stephan A. An umbrella review of effectiveness and efficacy trials for app-based health interventions. npj Digital Medicine 2023;6(1)
CrossRef -
Duan H, Yan W. Visual fatigue a comprehensive review of mechanisms of occurrence, animal model design and nutritional intervention strategies. Critical Reviews in Food Science and Nutrition 2023;:1
CrossRef -
Waki K, Tsurutani Y, Waki H, Enomoto S, Kashiwabara K, Fujiwara A, Orime K, Kinguchi S, Yamauchi T, Hirawa N, Tamura K, Terauchi Y, Nangaku M, Ohe K. Efficacy of StepAdd, a Personalized mHealth Intervention Based on Social Cognitive Theory to Increase Physical Activity Among Patients With Type 2 Diabetes Mellitus: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2024;13:e53514
CrossRef -
Joshi D, Nayagam J, Clay L, Yerlett J, Claridge L, Day J, Ferguson J, Mckie P, Vara R, Pargeter H, Lockyer R, Jones R, Heneghan M, Samyn M. UK guideline on the transition and management of childhood liver diseases in adulthood. Alimentary Pharmacology & Therapeutics 2024;59(7):812
CrossRef
According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.6309):
-
Mechanick JI, Zhao S. Creating a Lifestyle Medicine Center. 2020. Chapter 13:133
CrossRef -
Tang PY, Fisher EB. Behavioral Diabetes. 2020. Chapter 27:417
CrossRef -
Van Stee SK, Yang Q. Technology and Health. 2020. :243
CrossRef -
. Advancing Mobile Learning in Contemporary Educational Spaces. 2019. chapter 4:88
CrossRef -
Wali S, Keshavjee K, Demers C. eHealth - Making Health Care Smarter. 2018. Chapter 4
CrossRef -
Bregenzer A, Jiménez P. Handbuch Digitale Wirtschaft. 2019. Chapter 30-1:1
CrossRef -
Bregenzer A, Jiménez P. Handbuch Medizinökonomie I. 2020. Chapter 30-2:1
CrossRef -
Hester J, Zabala Z, Winskell K, Pasquel FJ. Diabetes Digital Health and Telehealth. 2022. :101
CrossRef -
Bregenzer A, Jiménez P. Handbuch Medizinökonomie I. 2021. Chapter 30:501
CrossRef -
Geirhos A, Bendig E, Schmitt A, Ebert DD, Baumeister H. Digitale Gesundheitsinterventionen. 2023. Chapter 16:275
CrossRef -
Domínguez-Miranda SA, Rodríguez-Aguilar R. Computer Science and Engineering in Health Services. 2024. Chapter 13:217
CrossRef